Machine learning and deep learning methods for wireless network applications

Chen, ACH; Jia, WK; Hwang, FJ; Liu, G; Song, F; Pu, L

Machine learning and deep learning methods for wireless network applications

Chen, ACH Jia, WK Hwang, FJ Liu, G Song, F Pu, L

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Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: Eurasip Journal on Wireless Communications and Networking, 2022, 2022, (1), pp. 115
Issue Date:: 2022-12-01

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Field	Value	Language
dc.contributor.author	Chen, ACH
dc.contributor.author	Jia, WK
dc.contributor.author	Hwang, FJ
dc.contributor.author	Liu, G
dc.contributor.author	Song, F
dc.contributor.author	Pu, L
dc.date.accessioned	2023-05-10T23:06:07Z
dc.date.available	2023-05-10T23:06:07Z
dc.date.issued	2022-12-01
dc.identifier.citation	Eurasip Journal on Wireless Communications and Networking, 2022, 2022, (1), pp. 115
dc.identifier.issn	1687-1472
dc.identifier.issn	1687-1499
dc.identifier.uri	http://hdl.handle.net/10453/170310
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Eurasip Journal on Wireless Communications and Networking
dc.relation.isbasedon	10.1186/s13638-022-02196-2
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0806 Information Systems, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	Machine learning and deep learning methods for wireless network applications
dc.type	Journal Article
utslib.citation.volume	2022
utslib.for	0806 Information Systems
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	open_access	*
dc.date.updated	2023-05-10T23:06:05Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	2022
utslib.citation.issue	1

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